结构化并行编程的绿色视角

2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing Pub Date : 2015-03-04 DOI:10.1109/PDP.2015.116

M. Danelutto, M. Torquati, P. Kilpatrick

{"title":"结构化并行编程的绿色视角","authors":"M. Danelutto, M. Torquati, P. Kilpatrick","doi":"10.1109/PDP.2015.116","DOIUrl":null,"url":null,"abstract":"Structured parallel programming, and in particular programming models using the algorithmic skeleton or parallel design pattern concepts, are increasingly considered to be the only viable means of supporting effective development of scalable and efficient parallel programs. Structured parallel programming models have been assessed in a number of works in the context of performance. In this paper we consider how the use of structured parallel programming models allows knowledge of the parallel patterns present to be harnessed to address both performance and energy consumption. We consider different features of structured parallel programming that may be leveraged to impact the performance/energy trade-off and we discuss a preliminary set of experiments validating our claims.","PeriodicalId":285111,"journal":{"name":"2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A Green Perspective on Structured Parallel Programming\",\"authors\":\"M. Danelutto, M. Torquati, P. Kilpatrick\",\"doi\":\"10.1109/PDP.2015.116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Structured parallel programming, and in particular programming models using the algorithmic skeleton or parallel design pattern concepts, are increasingly considered to be the only viable means of supporting effective development of scalable and efficient parallel programs. Structured parallel programming models have been assessed in a number of works in the context of performance. In this paper we consider how the use of structured parallel programming models allows knowledge of the parallel patterns present to be harnessed to address both performance and energy consumption. We consider different features of structured parallel programming that may be leveraged to impact the performance/energy trade-off and we discuss a preliminary set of experiments validating our claims.\",\"PeriodicalId\":285111,\"journal\":{\"name\":\"2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDP.2015.116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP.2015.116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

结构化并行编程，特别是使用算法框架或并行设计模式概念的编程模型，越来越被认为是支持有效开发可伸缩和高效并行程序的唯一可行方法。结构化并行编程模型已经在许多关于性能的工作中得到了评估。在本文中，我们将考虑如何使用结构化并行编程模型来利用现有并行模式的知识来解决性能和能耗问题。我们考虑了可能影响性能/能源权衡的结构化并行编程的不同特性，并讨论了一组初步实验来验证我们的说法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Green Perspective on Structured Parallel Programming

Structured parallel programming, and in particular programming models using the algorithmic skeleton or parallel design pattern concepts, are increasingly considered to be the only viable means of supporting effective development of scalable and efficient parallel programs. Structured parallel programming models have been assessed in a number of works in the context of performance. In this paper we consider how the use of structured parallel programming models allows knowledge of the parallel patterns present to be harnessed to address both performance and energy consumption. We consider different features of structured parallel programming that may be leveraged to impact the performance/energy trade-off and we discuss a preliminary set of experiments validating our claims.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

自引率

0.00%

发文量